Triple

T18903204
Position Surface form Disambiguated ID Type / Status
Subject Greenpatch Beach E462387 entity
Predicate nearbyTown P3883 FINISHED
Object Vincentia NE NERFINISHED

How this triple was built (2 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Vincentia | Statement: [Greenpatch Beach, nearbyTown, Vincentia]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Vincentia
Context triple: [Greenpatch Beach, nearbyTown, Vincentia]
  • A. Vincentia chosen
    Vincentia is a coastal town in New South Wales, Australia, known for its white-sand beaches and location on the shores of Jervis Bay.
  • B. Curicta
    Curicta is an ancient Adriatic island, historically associated with the Roman province of Dalmatia and known today as the Croatian island of Krk.
  • C. Cosentia
    Cosentia is the ancient Latin name of the city now known as Cosenza in southern Italy, historically an important center of the Bruttii in Calabria.
  • D. Tinana
    Tinana is a small town and suburb in Queensland, Australia, located near Maryborough in the Fraser Coast Region.
  • E. Tarraganda
    Tarraganda is a small rural locality situated within the Bega Valley region of New South Wales, Australia, known for its agricultural landscape and proximity to the town of Bega.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69d8dcfd05bc819088903cca13cc2846 completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5c52b07c08190be0db22826462ae3 completed April 20, 2026, 6:18 a.m.
Created at: April 10, 2026, 11:58 a.m.